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Lower bound based on Kalman carrier recovery below the information rate of Wiener phase noise channel

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3 Author(s)
Luca Barletta ; Dipartimento di Elettronica e informazione, Politecnico di Milano, Milan, Italy ; Maurizio Magarini ; Arnaldo Spalvieri

A new lower bound below the information rate transferred through the Additive White Gaussian Noise (AWGN) channel affected by discrete-time multiplicative Wiener's phase noise is proposed in the paper. The proposed lower bound is based on the Kalman approach to data-aided carrier phase recovery, and is less computationally demanding than known methods based on phase quantization and trellis representation of phase memory. Simulation results show that the lower bound is close to the actual channel capacity, especially at low-to-intermediate signal-to-noise ratio.

Published in:

Telecommunication Systems, Services, and Applications (TSSA), 2012 7th International Conference on

Date of Conference:

30-31 Oct. 2012